A NEW METHOD FOR FUZZY DECISION-MAKING BASED ON LIKELIHOOD-BASED COMPARISON RELATIONS

被引：9
|
作者：
Lee, Li-Wei [1 ]
Chen, Shyi-Ming [1 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Interval type-2 fuzzy sets; Likelihood-based comparison relations; Fuzzy decision-making; Probability-based comparison relations; NUMBERS;
D O I：
10.1109/ICMLC.2009.5212587
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we present a new fuzzy decision-making method based on likelihood-based comparison relations. First, we introduce likelihood-based comparison relations on intervals. Then, we propose the likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets based on likelihood-based comparison relations on intervals. Finally, we present a new fuzzy decision-making method based on likelihood-based comparison relations using type-1 fuzzy sets and interval type-2 fuzzy sets. The evaluated values of the proposed method can either be crisp values or intervals or type-1 fuzzy sets or interval type-2 fuzzy sets. The proposed method can handle fuzzy decision-making problems in a more flexible and more intelligent manner.
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页码：3021 / 3025
页数：5
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